Analyzing of consumer price index influence on inflation by multiple linear regression
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معادله رگرسیون خطى چندگانه به جاى یک عرض از مبدأ و ضریب زاویه داراى یک مقدار پابت ( مترادف با عرض از مبدأ) و به تعداد متغیرهاى مستقل داراى ضریب مى باشد. این ضرایب به نام ضرایب رگرسیون پارشیال خوانده مى شود. براى برآورد مقادیر ضرایب مى توان از روش کمترین مربعات استفاده کرد. یعنى ضرایب انتخاب مى شوند که مجموع مربعات اختلاف بین مقادیر پیش بینى شده و مشاهده شده متغیر وابسته ، کمترین مقدار را داشته باشد.
در این صفحه، تعداد 133 مقاله انگلیسی از ژورنال ها و مجلات معتبر پایگاه ساینس دایرکت (ScienceDirect) درباره موضوع رگرسیون چندگانه آرشیو شده است که شما می توانید مقالات مورد نظر خود را بر اساس سال انتشار، موضوع مقاله، وضعیت ترجمه و تعداد صفحات، انتخاب نموده و دانلود فرمایید.
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در صورتی که مقاله لاتین مورد نظر شما تا کنون به زبان فارسی ترجمه نشده باشد، واحد ترجمه پایگاه ISI Articles با همکاری تنی چند از اساتید و مترجمان با سابقه، آمادگی دارد آن را در اسرع وقت و با کیفیت مطلوب برای شما ترجمه نماید.
Modeling and controlling indoor formaldehyde concentrations in apartments: On-site investigation in all climate zones of China
Predictors of school absenteeism severity at multiple levels: A classification and regression tree analysis
Variable selection for high dimensional Gaussian copula regression model: An adaptive hypothesis testing procedure
Practical partial discharge pulse generation and location within transformer windings using regression models adjusted with simulated signals
Prediction effect of farmyard manure, multiple passes and moisture content on clay soil compaction using adaptive neuro-fuzzy inference system
Development of a novel machine vision procedure for rapid and non-contact measurement of soil moisture content
Black-box model for solar storage tanks based on multiple linear regression
Modeling of creep compliance behavior in asphalt mixes using multiple regression and artificial neural networks
Application of a multiple linear regression and an artificial neural network model for the heating performance analysis and hourly prediction of a large-scale ground source heat pump system
Prediction of wind drift and evaporation losses from sprinkler irrigation using neural network and multiple regression techniques
The design of multiple linear regression models using a genetic algorithm to diagnose initial short-circuit faults in 3-phase induction motors
Multiple linear regression modelling of on-farm direct water and electricity consumption on pasture based dairy farms
Effect of posterior instrumented fusion on three-dimensional volumetric growth of cervical ossification of the posterior longitudinal ligament: a multiple regression analysis
Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting
Experimental investigation and data-driven regression models for performance characterization of single and multiple passive chilled beam systems
Hybrid kernel principal component regression and penalty strategy of multiple adaptive genetic algorithms for estimating optimum parameters in abrasive waterjet machining
Efficient multiple incremental computation for Kernel Ridge Regression with Bayesian uncertainty modeling
Rainfall partitioning into throughfall, stemflow and interception loss by maize canopy on the semi-arid Loess Plateau of China
Human health risks of polycyclic aromatic hydrocarbons in the urban soils of Nanjing, China
A novel algorithm for identifying risk factors for rare events: Predicting transient ischemic attack in young patients with low-risk atrial fibrillation
A functional framework for flow-duration-curve and daily streamflow estimation at ungauged sites
Stamping Process Parameter Optimization with Multiple Regression Analysis Approach
Time-localized wavelet multiple regression and correlation
Effects of percent operating expenditure on Canadian non-hazardous waste diversion
Unsteady flow and heat transfer past a permeable stretching/shrinking sheet in a nanofluid: A revised model with stability and regression analyses
Acoustic comfort evaluation modeling and improvement test of a forklift based on rank score comparison and multiple linear regression
Transformation of Landsat imagery into pseudo-hyperspectral imagery by a multiple regression-based model with application to metal deposit-related minerals mapping
Characteristics of the Chinese rural elderly living in nursing homes who have suicidal ideation: A multiple regression model
Variable selection methods for multiple regressions influence the parsimony of risk prediction models for cardiac surgery
Automated segmentation and area estimation of neural foramina with boundary regression model
Prediction of soil organic carbon in an intensively managed reclamation zone of eastern China: A comparison of multiple linear regressions and the random forest model
Prediction model of Cooling Load considering time-lag for preemptive action in buildings
Identification of explanatory variables pertaining to attack intensity on U.S. embassies in countries of the Middle East and North Africa
Association between resting-state brain network topological organization and creative ability: Evidence from a multiple linear regression model
Energy Performance Study in Thailand Hospital Building
Influencing factors regression analysis of heating energy consumption of rural buildings in China
Utilizing regression models to find functions for determining ripping production based on laboratory tests
Gas chromatography-mass spectrometry and high-performance liquid chromatography-diode array detection for dating of paper ink
Integration of genetic algorithm and multiple kernel support vector regression for modeling urban growth
Imputation in nonparametric quantile regression with complex data
Performance evaluation of multiple methods for landscape aesthetic suitability mapping: A comparative study between Multi-Criteria Evaluation, Logistic Regression and Multi-Layer Perceptron neural network
Virtual machine consolidation enhancement using hybrid regression algorithms
Soil organic carbon distribution in Mediterranean areas under a climate change scenario via multiple linear regression analysis
Leveraging multiple linear regression for wavelength selection
Probabilistic load flow calculation with quasi-Monte Carlo and multiple linear regression
Multiple sources and multiple measures based traffic flow prediction using the chaos theory and support vector regression method
Prediction of cementitious grout take for a mine shaft permeation by adaptive neuro-fuzzy inference system and multiple regression
Investigation on the influence of pectin structures on the pasting properties of rice starch by multiple regression
A Method of Calculating Functional Independence Measure at Discharge from Functional Independence Measure Effectiveness Predicted by Multiple Regression Analysis Has a High Degree of Predictive Accuracy
Multiple linear regression and fuzzy logic models applied to the functional service life prediction of cultural heritage
Influences of environmental factors on Si-based photovoltaic modules after longtime outdoor exposure by multiple regression analysis
Forecasting bivalve landings with multiple regression and data mining techniques: The case of the Portuguese Artisanal Dredge Fleet
New empirical model to evaluate groundwater flow into circular tunnel using multiple regression analysis
Geodesic shape regression with multiple geometries and sparse parameters
Household Electricity Consumption Prediction Under Multiple Behavioural Intervention Strategies Using Support Vector Regression
A globally enhanced general regression neural network for on-line multiple emissions prediction of utility boiler
Augmented chaos-multiple linear regression approach for prediction of wave parameters
Dating of ballpoint pen writing inks via spectroscopic and multiple linear regression analysis: A novel approach
Application of multiple linear regression and Bayesian belief network approaches to model life risk to beach users in the UK
Grid Frequency Estimation Using Multiple Model with Harmonic Regressor: Robustness Enhancement with Stepwise Splitting Method
Study of factors affecting warm air spreading distance in impinging jet ventilation rooms using multiple regression analysis
Prediction of geomechanical parameters using soft computing and multiple regression approach
Multiple quantile regression analysis of longitudinal data: Heteroscedasticity and efficient estimation
Use of multiple regression models to evaluate the formation of halonitromethane via chlorination/chloramination of water from Tai Lake and the Qiantang River, China
Waste generated in high-rise buildings construction: A quantification model based on statistical multiple regression
Multiple Regression Analysis of Factors Affecting Health-Related Quality of Life in Adult Spinal Deformity
Using the multiple regression analysis with respect to ANOVA and 3D mapping to model the actual performance of PEM (proton exchange membrane) fuel cell at various operating conditions
The role of disgust propensity and trait guilt in OCD symptoms: A multiple regression model in a clinical sample
Determining the value of the port transport waters: Based on improved TOPSIS model by multiple regression weighting
Adaptive predictive control of thermo-active building systems (TABS) based on a multiple regression algorithm
Comparative Multiple Regression Analysis of Household Electricity use in Latvia: Using Smart Meter Data to Examine the Effect of Different Household Characteristics ☆
Stepwise multiple regression method of greenhouse gas emission modeling in the energy sector in Poland
Using multiple regression analysis to develop energy consumption indicators for commercial buildings in the U.S.
Multiple Regression Model for the Prediction of Unconfined Compressive Strength of Jet Grout Columns ☆